Predictors of Disease Severity and Death in Patients Admitted with COVID-19 in Infectious Diseases Center, Qazvin University of Medical Sciences, Iran: A Cross-Sectional Study

Document Type : Original Article (s)

Authors

1 Department of Critical Care Nursing, School of Nursing and Midwifery, Qazvin University of Medical Sciences, Qazvin, Iran

2 Assistant Professor, Department of Emergency Medicine, Metabolic Disease Research Center, Qazvin University of Medical Sciences, Qazvin, Iran

3 Assistant Professor, Department of Community Medicine, Metabolic Diseases Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran

4 Associate Professor, Department of Critical Care Nursing, School of Nursing and Midwifery AND Metabolic Diseases Research Center, Qazvin University of Medical Sciences, Qazvin, Iran

Abstract

Background: The aim of this study was to determine the predictors of disease severity and death in patients hospitalized with coronavirus disease 2019 (COVID-19) in the Infectious Diseases Center of Qazvin University of Medical Sciences, Qazvin, Iran.Methods: A total of 228 patients with COVID-19 were included in this cross-sectional study. Of these, 114 patients were alive and 114 patients were dead, who were selected using the available sampling method. The logistic regression analysis method (Inter model) was used to predict the effective factors of severity of disease and mortality of patients and control of confounders.Findings: Multivariate logistic regression analysis showed that increase in C-reactive protein (CRP), blood urea nitrogen (BUN), and potassium(K), and decrease in the mean time from onset of symptoms to hospitalization could be predictors of death in patients with COVID-19. Moreover, the deceased patients were older than the surviving group. There was also a significant difference between the two groups of deceased and survivors in terms of the presence of underlying diseases of hypothyroidism and chronic kidney insufficiency (P < 0.001).Conclusion: According to the results of this study, measuring electrolytes at the beginning of hospitalization, and then serially, is recommended to take corrective measures in the field of disease control.

Keywords

References

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History

  • Receive Date: 08 December 2020
  • Revise Date: 01 November 2024
  • Accept Date: 06 April 2022

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